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DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
A Successful Journey to the Cloud
Pablo Alvarez
Principal Solution Architect, Denodo
Paul Moxon
VP Data Architectures & Chief Evangelist, Denodo
Agenda
1. The Challenges of Cloud Adoption
2. Data Virtualization to the Rescue
3. Demo
4. Q&A
5. Next Steps
The Challenges of
Cloud Adoption
4
A Modern Data Ecosystem
5
A Modern Data Ecosystem
6
Benefits of Cloud Adoption
7
n = 54
8
Top 5 Challenges of Cloud Adoption
Cloud-First or Cloud Cautious?
9
Average = 34.4% of Infrastructure on the Cloud
Median = 20.0% of Infrastructure on the Cloud
n = 91
A (Typical) Cloud Journey
10
On-Premise On-Premise + SaaS
On-Premise
+ SaaS
+ Private Cloud
On-Premise + SaaS
+ Private Cloud + iPaaS
Cloud Native
Distributed Cloud Data Architectures
• Pure Cloud (“Cloud Native”)
• Single Cloud provider
• Private or public Cloud
• Hybrid
• Cloud and on-premise
• Pure Cloud…but multiple Cloud providers
• Data in multiple data stores, multiple
locations
• Applications (SaaS) storing data in Cloud
11
Challenges in Cloud Data Integration
• Data is in many locations, data repositories,
formats, etc.
• Cloud, on-premise, SaaS, …
• How do they know what data is available?
• How to users find and access the data?
• Simple tasks become more challenging as
the data gets more dispersed
12
Data Virtualization
to the Rescue
13
An Agile Information Architecture
14
DATA
VIRTUALIZA
TION
The First Step
• Do I need Data Virtualization?
• Data Virtualization as an abstraction
layer to minimize impact of SaaS
migration
• Limit ‘ripples of change’
throughout organization
15
On-Premise + SaaS
Second Step
• Architecture becomes more complex
• Data in multiple locations
• How do I access Cloud data?
• And integrate it with on-premises data? Or SaaS data?
• Need Cloud ‘data gateway’
• Access data via gateway
• Users don’t need to worry about location, formats, or technologies
used to store and process data in Cloud
• All this is hidden by the ‘gateway’
16
On-Premise
+ SaaS
+ Private Cloud
Second Step (Cont’d)
17
Second Step (Cont’d)
18
Step Three (and Four)
• Architecture even more complex!
• Multiple Clouds + on-premise data
• And SaaS applications
• Data center of gravity moves towards Cloud and away from on-
premise systems
• But data still scattered across all locations
• Multiple ‘gateways’
• Denodo’s ‘Multi-location architecture’
• Processing is moved to ‘engine’ closest to data
19
On-Premise + SaaS
+ Private Cloud + iPaaS
Multi-Location Architecture
20
Product Demonstration
21
Principal Solution Architect, Denodo
Pablo Alvarez
Demo
22
Summary
• Moving data and applications to the Cloud is fraught with
difficulties
• But adopting the Cloud is essential if IT is going to become agile and
move at the speed of the business
• Data architectures are going to be more complex and more
challenging with increasing use of the Cloud
• Data Virtualization can make it easier for users to find and access
the data that they need
• Denodo’s Multi-Location Architecture can simplify adoption of new
Cloud providers, new data sources, etc.
23
Q&A
Next steps
Download Denodo Express:
www.denodoexpress.com
Access Denodo Platform in the Cloud!
30 day FREE trial available!
Denodo for Azure:
www.denodo.com/TrialAzure/PackedLunch
Denodo for AWS: www.denodo.com/TrialAWS/PackedLunch
Next session
Big Data Fabric: A Necessity for Any
Successful Big Data Initiative
Thursday, May 17, 2018 at 11:00am (PST)
Paul Moxon
VP Data Architectures and Chief Evangelist
Thank you!
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and
microfilm, without prior the written authorization from Denodo Technologies.

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A Successful Journey to the Cloud

  • 1. DATA VIRTUALIZATION PACKED LUNCH WEBINAR SERIES Sessions Covering Key Data Integration Challenges Solved with Data Virtualization
  • 2. A Successful Journey to the Cloud Pablo Alvarez Principal Solution Architect, Denodo Paul Moxon VP Data Architectures & Chief Evangelist, Denodo
  • 3. Agenda 1. The Challenges of Cloud Adoption 2. Data Virtualization to the Rescue 3. Demo 4. Q&A 5. Next Steps
  • 5. A Modern Data Ecosystem 5
  • 6. A Modern Data Ecosystem 6
  • 7. Benefits of Cloud Adoption 7 n = 54
  • 8. 8 Top 5 Challenges of Cloud Adoption
  • 9. Cloud-First or Cloud Cautious? 9 Average = 34.4% of Infrastructure on the Cloud Median = 20.0% of Infrastructure on the Cloud n = 91
  • 10. A (Typical) Cloud Journey 10 On-Premise On-Premise + SaaS On-Premise + SaaS + Private Cloud On-Premise + SaaS + Private Cloud + iPaaS Cloud Native
  • 11. Distributed Cloud Data Architectures • Pure Cloud (“Cloud Native”) • Single Cloud provider • Private or public Cloud • Hybrid • Cloud and on-premise • Pure Cloud…but multiple Cloud providers • Data in multiple data stores, multiple locations • Applications (SaaS) storing data in Cloud 11
  • 12. Challenges in Cloud Data Integration • Data is in many locations, data repositories, formats, etc. • Cloud, on-premise, SaaS, … • How do they know what data is available? • How to users find and access the data? • Simple tasks become more challenging as the data gets more dispersed 12
  • 14. An Agile Information Architecture 14 DATA VIRTUALIZA TION
  • 15. The First Step • Do I need Data Virtualization? • Data Virtualization as an abstraction layer to minimize impact of SaaS migration • Limit ‘ripples of change’ throughout organization 15 On-Premise + SaaS
  • 16. Second Step • Architecture becomes more complex • Data in multiple locations • How do I access Cloud data? • And integrate it with on-premises data? Or SaaS data? • Need Cloud ‘data gateway’ • Access data via gateway • Users don’t need to worry about location, formats, or technologies used to store and process data in Cloud • All this is hidden by the ‘gateway’ 16 On-Premise + SaaS + Private Cloud
  • 19. Step Three (and Four) • Architecture even more complex! • Multiple Clouds + on-premise data • And SaaS applications • Data center of gravity moves towards Cloud and away from on- premise systems • But data still scattered across all locations • Multiple ‘gateways’ • Denodo’s ‘Multi-location architecture’ • Processing is moved to ‘engine’ closest to data 19 On-Premise + SaaS + Private Cloud + iPaaS
  • 21. Product Demonstration 21 Principal Solution Architect, Denodo Pablo Alvarez
  • 23. Summary • Moving data and applications to the Cloud is fraught with difficulties • But adopting the Cloud is essential if IT is going to become agile and move at the speed of the business • Data architectures are going to be more complex and more challenging with increasing use of the Cloud • Data Virtualization can make it easier for users to find and access the data that they need • Denodo’s Multi-Location Architecture can simplify adoption of new Cloud providers, new data sources, etc. 23
  • 24. Q&A
  • 25. Next steps Download Denodo Express: www.denodoexpress.com Access Denodo Platform in the Cloud! 30 day FREE trial available! Denodo for Azure: www.denodo.com/TrialAzure/PackedLunch Denodo for AWS: www.denodo.com/TrialAWS/PackedLunch
  • 26. Next session Big Data Fabric: A Necessity for Any Successful Big Data Initiative Thursday, May 17, 2018 at 11:00am (PST) Paul Moxon VP Data Architectures and Chief Evangelist
  • 27. Thank you! © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.